Merged_Movies

Dataset statistics

Number of variables	57
Number of observations	3287
Missing cells	1243
Missing cells (%)	0.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.6 MiB
Average record size in memory	1.1 KiB

Variable types

Categorical	37
Numeric	19
URL	1

Warnings

`Reality-TV` has constant value "0"	Constant
`Game-Show` has constant value "0"	Constant
`Film-Noir` has constant value "0"	Constant
`director_name` has a high cardinality: 1788 distinct values	High cardinality
`actor_2_name` has a high cardinality: 2074 distinct values	High cardinality
`genres` has a high cardinality: 688 distinct values	High cardinality
`actor_1_name` has a high cardinality: 1430 distinct values	High cardinality
`movie_title` has a high cardinality: 3223 distinct values	High cardinality
`actor_3_name` has a high cardinality: 2404 distinct values	High cardinality
`plot_keywords` has a high cardinality: 3119 distinct values	High cardinality
`num_critic_for_reviews` is highly correlated with `gross` and 6 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_2_facebook_likes`	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`gross` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 6 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_1_facebook_likes` and 1 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 4 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 1 other fields	High correlation
`movie_facebook_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`Family` is highly correlated with `Animation`	High correlation
`Animation` is highly correlated with `Family`	High correlation
`Adventure` is highly correlated with `budget_y`	High correlation
`budget_y` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`revenue` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`profit` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `gross` and 6 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_1_facebook_likes` and 2 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`gross` is highly correlated with `num_critic_for_reviews` and 6 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 6 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 6 other fields	High correlation
`budget_x` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`Family` is highly correlated with `Animation`	High correlation
`Animation` is highly correlated with `Family`	High correlation
`budget_y` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`revenue` is highly correlated with `num_critic_for_reviews` and 6 other fields	High correlation
`profit` is highly correlated with `num_critic_for_reviews` and 4 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 1 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 1 other fields	High correlation
`gross` is highly correlated with `num_voted_users` and 4 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`budget_x` is highly correlated with `gross` and 2 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`Family` is highly correlated with `Animation`	High correlation
`Animation` is highly correlated with `Family`	High correlation
`budget_y` is highly correlated with `gross` and 2 other fields	High correlation
`revenue` is highly correlated with `num_critic_for_reviews` and 6 other fields	High correlation
`profit` is highly correlated with `gross` and 1 other fields	High correlation
`revenue` is highly correlated with `profit` and 4 other fields	High correlation
`profit` is highly correlated with `revenue` and 5 other fields	High correlation
`Crime` is highly correlated with `Thriller`	High correlation
`Family` is highly correlated with `Animation` and 3 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_2_facebook_likes` and 3 other fields	High correlation
`country` is highly correlated with `News` and 2 other fields	High correlation
`News` is highly correlated with `country` and 1 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 1 other fields	High correlation
`Comedy` is highly correlated with `Thriller`	High correlation
`Thriller` is highly correlated with `Crime` and 2 other fields	High correlation
`language` is highly correlated with `country` and 1 other fields	High correlation
`Mystery` is highly correlated with `Thriller`	High correlation
`Short` is highly correlated with `duration` and 1 other fields	High correlation
`movie_facebook_likes` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`gross` is highly correlated with `revenue` and 7 other fields	High correlation
`Animation` is highly correlated with `Family` and 2 other fields	High correlation
`num_voted_users` is highly correlated with `revenue` and 8 other fields	High correlation
`content_rating` is highly correlated with `Family` and 1 other fields	High correlation
`Adventure` is highly correlated with `profit` and 4 other fields	High correlation
`duration` is highly correlated with `Short` and 1 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`budget_y` is highly correlated with `revenue` and 4 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `movie_facebook_likes` and 2 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`budget_x` is highly correlated with `country` and 3 other fields	High correlation
`imdb_score` is highly correlated with `num_voted_users`	High correlation
`num_user_for_reviews` is highly correlated with `revenue` and 4 other fields	High correlation
`Fantasy` is highly correlated with `Family`	High correlation
`Horror` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`History` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Action` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Musical` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Romance` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Crime` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Reality-TV` is highly correlated with `Horror` and 28 other fields	High correlation
`Family` is highly correlated with `Reality-TV` and 4 other fields	High correlation
`country` is highly correlated with `Reality-TV` and 4 other fields	High correlation
`News` is highly correlated with `Reality-TV` and 3 other fields	High correlation
`Music` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Comedy` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Biography` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Thriller` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`language` is highly correlated with `Reality-TV` and 3 other fields	High correlation
`Game-Show` is highly correlated with `Horror` and 28 other fields	High correlation
`Documentary` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Sport` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Mystery` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Short` is highly correlated with `Reality-TV` and 3 other fields	High correlation
`Animation` is highly correlated with `Reality-TV` and 4 other fields	High correlation
`War` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`content_rating` is highly correlated with `Reality-TV` and 5 other fields	High correlation
`Western` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Adventure` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`color` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Sci-Fi` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Drama` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`Film-Noir` is highly correlated with `Horror` and 28 other fields	High correlation
`Fantasy` is highly correlated with `Reality-TV` and 2 other fields	High correlation
`gross` has 393 (12.0%) missing values	Missing
`plot_keywords` has 102 (3.1%) missing values	Missing
`content_rating` has 157 (4.8%) missing values	Missing
`budget_x` has 265 (8.1%) missing values	Missing
`aspect_ratio` has 213 (6.5%) missing values	Missing
`budget_x` is highly skewed (γ1 = 51.50092352)	Skewed
`actor_2_name` is uniformly distributed	Uniform
`movie_title` is uniformly distributed	Uniform
`actor_3_name` is uniformly distributed	Uniform
`plot_keywords` is uniformly distributed	Uniform
`director_facebook_likes` has 548 (16.7%) zeros	Zeros
`actor_3_facebook_likes` has 51 (1.6%) zeros	Zeros
`facenumber_in_poster` has 1386 (42.2%) zeros	Zeros
`actor_2_facebook_likes` has 34 (1.0%) zeros	Zeros
`movie_facebook_likes` has 1353 (41.2%) zeros	Zeros
`budget_y` has 549 (16.7%) zeros	Zeros
`revenue` has 764 (23.2%) zeros	Zeros
`profit` has 435 (13.2%) zeros	Zeros

Reproduction

Analysis started	2021-08-09 02:51:29.813787
Analysis finished	2021-08-09 02:52:43.990209
Duration	1 minute and 14.18 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

color
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	9
Missing (%)	0.3%
Memory size	225.3 KiB

Color	3196
Black and White	82

Length

Max length	16
Median length	5
Mean length	5.275167785
Min length	5

Characters and Unicode

Total characters	17292
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Color
2nd row	Color
3rd row	Color
4th row	Color
5th row	Color

Common Values

Value	Count	Frequency (%)
Color	3196	97.2%
Black and White	82	2.5%
(Missing)	9	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
color	3196	92.9%
white	82	2.4%
black	82	2.4%
and	82	2.4%

Most occurring characters

Value	Count	Frequency (%)
o	6392	37.0%
l	3278	19.0%
C	3196	18.5%
r	3196	18.5%
	246	1.4%
a	164	0.9%
B	82	0.5%
c	82	0.5%
k	82	0.5%
n	82	0.5%
Other values (6)	492	2.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13686	79.1%
Uppercase Letter	3360	19.4%
Space Separator	246	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	6392	46.7%
l	3278	24.0%
r	3196	23.4%
a	164	1.2%
c	82	0.6%
k	82	0.6%
n	82	0.6%
d	82	0.6%
h	82	0.6%
i	82	0.6%
Other values (2)	164	1.2%

Uppercase Letter

Value	Count	Frequency (%)
C	3196	95.1%
B	82	2.4%
W	82	2.4%

Space Separator

Value	Count	Frequency (%)
	246	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17046	98.6%
Common	246	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	6392	37.5%
l	3278	19.2%
C	3196	18.7%
r	3196	18.7%
a	164	1.0%
B	82	0.5%
c	82	0.5%
k	82	0.5%
n	82	0.5%
d	82	0.5%
Other values (5)	410	2.4%

Common

Value	Count	Frequency (%)
	246	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17292	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	6392	37.0%
l	3278	19.0%
C	3196	18.5%
r	3196	18.5%
	246	1.4%
a	164	0.9%
B	82	0.5%
c	82	0.5%
k	82	0.5%
n	82	0.5%
Other values (6)	492	2.8%

director_name
Categorical

HIGH CARDINALITY

Distinct	1788
Distinct (%)	54.4%
Missing	0
Missing (%)	0.0%
Memory size	252.2 KiB

Steven Soderbergh	14
Clint Eastwood	13
Woody Allen	12
Steven Spielberg	11
Ridley Scott	11
Other values (1783)	3226

Length

Max length	32
Median length	13
Mean length	13.04137511
Min length	3

Characters and Unicode

Total characters	42867
Distinct characters	73
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1147 ?
Unique (%)	34.9%

Sample

1st row	Dan Trachtenberg
2nd row	Timothy Hines
3rd row	Gil Junger
4th row	Kevin Lima
5th row	Robert Moresco

Common Values

Value	Count	Frequency (%)
Steven Soderbergh	14	0.4%
Clint Eastwood	13	0.4%
Woody Allen	12	0.4%
Steven Spielberg	11	0.3%
Ridley Scott	11	0.3%
Peter Jackson	11	0.3%
Ron Howard	10	0.3%
Tim Burton	10	0.3%
Shawn Levy	10	0.3%
Kevin Smith	9	0.3%
Other values (1778)	3176	96.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
david	116	1.7%
john	91	1.3%
michael	87	1.3%
paul	62	0.9%
peter	56	0.8%
james	55	0.8%
robert	49	0.7%
scott	47	0.7%
chris	37	0.5%
mike	37	0.5%
Other values (2294)	6188	90.7%

Most occurring characters

Value	Count	Frequency (%)
e	3992	9.3%
a	3551	8.3%
	3538	8.3%
n	3074	7.2%
r	2902	6.8%
i	2481	5.8%
o	2457	5.7%
l	2023	4.7%
t	1555	3.6%
s	1401	3.3%
Other values (63)	15893	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32123	74.9%
Uppercase Letter	6983	16.3%
Space Separator	3538	8.3%
Other Punctuation	174	0.4%
Dash Punctuation	49	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3992	12.4%
a	3551	11.1%
n	3074	9.6%
r	2902	9.0%
i	2481	7.7%
o	2457	7.6%
l	2023	6.3%
t	1555	4.8%
s	1401	4.4%
h	1227	3.8%
Other values (30)	7460	23.2%

Uppercase Letter

Value	Count	Frequency (%)
S	666	9.5%
J	608	8.7%
M	605	8.7%
R	479	6.9%
C	476	6.8%
D	453	6.5%
B	453	6.5%
A	387	5.5%
P	340	4.9%
G	333	4.8%
Other values (19)	2183	31.3%

Other Punctuation

Value	Count	Frequency (%)
.	158	90.8%
'	16	9.2%

Space Separator

Value	Count	Frequency (%)
	3538	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	49	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39106	91.2%
Common	3761	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3992	10.2%
a	3551	9.1%
n	3074	7.9%
r	2902	7.4%
i	2481	6.3%
o	2457	6.3%
l	2023	5.2%
t	1555	4.0%
s	1401	3.6%
h	1227	3.1%
Other values (59)	14443	36.9%

Common

Value	Count	Frequency (%)
	3538	94.1%
.	158	4.2%
-	49	1.3%
'	16	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42780	99.8%
Latin 1 Sup	87	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3992	9.3%
a	3551	8.3%
	3538	8.3%
n	3074	7.2%
r	2902	6.8%
i	2481	5.8%
o	2457	5.7%
l	2023	4.7%
t	1555	3.6%
s	1401	3.3%
Other values (46)	15806	36.9%

Latin 1 Sup

Value	Count	Frequency (%)
é	25	28.7%
ö	15	17.2%
á	12	13.8%
ó	8	9.2%
å	6	6.9%
í	4	4.6%
ñ	3	3.4%
ä	2	2.3%
ç	2	2.3%
É	2	2.3%
Other values (7)	8	9.2%

num_critic_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	520
Distinct (%)	16.0%
Missing	29
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	168.1685083

Minimum	1
Maximum	813
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	1
5-th percentile	11
Q1	71
median	142
Q3	231.75
95-th percentile	432.15
Maximum	813
Range	812
Interquartile range (IQR)	160.75

Descriptive statistics

Standard deviation	130.9393784
Coefficient of variation (CV)	0.778620086
Kurtosis	1.846966342
Mean	168.1685083
Median Absolute Deviation (MAD)	79
Skewness	1.247429186
Sum	547893
Variance	17145.12081
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	20	0.6%
1	19	0.6%
129	19	0.6%
5	19	0.6%
97	19	0.6%
81	19	0.6%
9	19	0.6%
98	18	0.5%
16	18	0.5%
85	18	0.5%
Other values (510)	3070	93.4%
(Missing)	29	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	19	0.6%
2	11	0.3%
3	14	0.4%
4	15	0.5%
5	19	0.6%
6	20	0.6%
7	9	0.3%
8	18	0.5%
9	19	0.6%
10	17	0.5%

Value	Count	Frequency (%)
813	1	< 0.1%
765	1	< 0.1%
750	2	0.1%
739	1	< 0.1%
738	1	< 0.1%
733	1	< 0.1%
723	1	< 0.1%
712	1	< 0.1%
703	1	< 0.1%
682	1	< 0.1%

duration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	136
Distinct (%)	4.1%
Missing	5
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	106.4594759

Minimum	7
Maximum	280
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	7
5-th percentile	84
Q1	93
median	103
Q3	116
95-th percentile	141
Maximum	280
Range	273
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	19.36236771
Coefficient of variation (CV)	0.1818754746
Kurtosis	5.858641477
Mean	106.4594759
Median Absolute Deviation (MAD)	11
Skewness	1.460797069
Sum	349400
Variance	374.9012832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	131	4.0%
101	99	3.0%
97	95	2.9%
95	94	2.9%
98	94	2.9%
100	92	2.8%
94	90	2.7%
93	89	2.7%
102	81	2.5%
106	81	2.5%
Other values (126)	2336	71.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	1	< 0.1%
20	1	< 0.1%
35	1	< 0.1%
41	1	< 0.1%
46	1	< 0.1%
47	1	< 0.1%
52	1	< 0.1%
53	1	< 0.1%
60	1	< 0.1%
63	1	< 0.1%

Value	Count	Frequency (%)
280	1	< 0.1%
240	1	< 0.1%
220	1	< 0.1%
216	1	< 0.1%
215	1	< 0.1%
206	1	< 0.1%
201	3	0.1%
196	1	< 0.1%
195	1	< 0.1%
194	1	< 0.1%

director_facebook_likes
Real number (ℝ_≥0)

ZEROS

Distinct	392
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	603.7158503

Minimum	0
Maximum	23000
Zeros	548
Zeros (%)	16.7%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	8
median	50
Q3	189
95-th percentile	905
Maximum	23000
Range	23000
Interquartile range (IQR)	181

Descriptive statistics

Standard deviation	2654.118673
Coefficient of variation (CV)	4.396304439
Kurtosis	35.38076684
Mean	603.7158503
Median Absolute Deviation (MAD)	50
Skewness	5.907418613
Sum	1984414
Variance	7044345.93
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	548	16.7%
3	53	1.6%
2	44	1.3%
7	43	1.3%
6	43	1.3%
11	39	1.2%
4	39	1.2%
8	38	1.2%
9	37	1.1%
10	35	1.1%
Other values (382)	2368	72.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	548	16.7%
2	44	1.3%
3	53	1.6%
4	39	1.2%
5	31	0.9%
6	43	1.3%
7	43	1.3%
8	38	1.2%
9	37	1.1%
10	35	1.1%

Value	Count	Frequency (%)
23000	1	< 0.1%
22000	8	0.2%
21000	7	0.2%
20000	1	< 0.1%
18000	3	0.1%
17000	8	0.2%
16000	18	0.5%
15000	1	< 0.1%
14000	14	0.4%
13000	12	0.4%

actor_3_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	836
Distinct (%)	25.5%
Missing	10
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	744.5691181

Minimum	0
Maximum	23000
Zeros	51
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	16.8
Q1	172
median	416
Q3	681
95-th percentile	1000
Maximum	23000
Range	23000
Interquartile range (IQR)	509

Descriptive statistics

Standard deviation	1876.909299
Coefficient of variation (CV)	2.520799282
Kurtosis	48.55939805
Mean	744.5691181
Median Absolute Deviation (MAD)	251
Skewness	6.549472711
Sum	2439953
Variance	3522788.515
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	106	3.2%
0	51	1.6%
11000	24	0.7%
2000	23	0.7%
3000	20	0.6%
826	15	0.5%
322	15	0.5%
10000	14	0.4%
3	14	0.4%
442	13	0.4%
Other values (826)	2982	90.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	51	1.6%
2	7	0.2%
3	14	0.4%
4	6	0.2%
5	9	0.3%
6	7	0.2%
7	12	0.4%
8	10	0.3%
9	6	0.2%
10	5	0.2%

Value	Count	Frequency (%)
23000	2	0.1%
20000	1	< 0.1%
19000	4	0.1%
17000	1	< 0.1%
16000	3	0.1%
15000	1	< 0.1%
14000	6	0.2%
13000	2	0.1%
12000	6	0.2%
11000	24	0.7%

actor_2_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2074
Distinct (%)	63.2%
Missing	7
Missing (%)	0.2%
Memory size	251.6 KiB

Charlize Theron	13
Morgan Freeman	12
James Franco	10
Judy Greer	9
Adam Sandler	9
Other values (2069)	3227

Length

Max length	28
Median length	13
Mean length	13.11859756
Min length	3

Characters and Unicode

Total characters	43029
Distinct characters	69
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1449 ?
Unique (%)	44.2%

Sample

1st row	John Gallagher Jr.
2nd row	Kelly LeBrock
3rd row	Heath Ledger
4th row	Eric Idle
5th row	Brad Renfro

Common Values

Value	Count	Frequency (%)
Charlize Theron	13	0.4%
Morgan Freeman	12	0.4%
James Franco	10	0.3%
Judy Greer	9	0.3%
Adam Sandler	9	0.3%
Thomas Kretschmann	9	0.3%
Rosario Dawson	8	0.2%
Meryl Streep	8	0.2%
Angelina Jolie Pitt	8	0.2%
Will Ferrell	8	0.2%
Other values (2064)	3186	96.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	64	0.9%
david	39	0.6%
scott	38	0.6%
james	36	0.5%
tom	31	0.5%
kevin	31	0.5%
thomas	31	0.5%
john	30	0.4%
adam	30	0.4%
jason	28	0.4%
Other values (2786)	6437	94.7%

Most occurring characters

Value	Count	Frequency (%)
e	4090	9.5%
a	3891	9.0%
	3515	8.2%
n	3106	7.2%
r	2863	6.7%
i	2619	6.1%
o	2375	5.5%
l	2224	5.2%
t	1522	3.5%
s	1469	3.4%
Other values (59)	15355	35.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32360	75.2%
Uppercase Letter	6983	16.2%
Space Separator	3515	8.2%
Other Punctuation	125	0.3%
Dash Punctuation	40	0.1%
Decimal Number	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4090	12.6%
a	3891	12.0%
n	3106	9.6%
r	2863	8.8%
i	2619	8.1%
o	2375	7.3%
l	2224	6.9%
t	1522	4.7%
s	1469	4.5%
h	1188	3.7%
Other values (27)	7013	21.7%

Uppercase Letter

Value	Count	Frequency (%)
M	658	9.4%
S	575	8.2%
C	566	8.1%
J	515	7.4%
B	477	6.8%
D	438	6.3%
A	412	5.9%
R	390	5.6%
L	329	4.7%
T	302	4.3%
Other values (16)	2321	33.2%

Other Punctuation

Value	Count	Frequency (%)
.	85	68.0%
'	40	32.0%

Decimal Number

Value	Count	Frequency (%)
5	3	50.0%
0	3	50.0%

Space Separator

Value	Count	Frequency (%)
	3515	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39343	91.4%
Common	3686	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4090	10.4%
a	3891	9.9%
n	3106	7.9%
r	2863	7.3%
i	2619	6.7%
o	2375	6.0%
l	2224	5.7%
t	1522	3.9%
s	1469	3.7%
h	1188	3.0%
Other values (53)	13996	35.6%

Common

Value	Count	Frequency (%)
	3515	95.4%
.	85	2.3%
-	40	1.1%
'	40	1.1%
5	3	0.1%
0	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42979	99.9%
Latin 1 Sup	50	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4090	9.5%
a	3891	9.1%
	3515	8.2%
n	3106	7.2%
r	2863	6.7%
i	2619	6.1%
o	2375	5.5%
l	2224	5.2%
t	1522	3.5%
s	1469	3.4%
Other values (48)	15305	35.6%

Latin 1 Sup

Value	Count	Frequency (%)
é	14	28.0%
í	13	26.0%
ë	6	12.0%
á	5	10.0%
å	3	6.0%
ø	2	4.0%
ó	2	4.0%
ï	2	4.0%
à	1	2.0%
è	1	2.0%

actor_1_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	724
Distinct (%)	22.1%
Missing	4
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	7728.218093

Minimum	0
Maximum	640000
Zeros	19
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	141
Q1	694.5
median	1000
Q3	12000
95-th percentile	26000
Maximum	640000
Range	640000
Interquartile range (IQR)	11305.5

Descriptive statistics

Standard deviation	17602.61506
Coefficient of variation (CV)	2.27770682
Kurtosis	550.8209414
Mean	7728.218093
Median Absolute Deviation (MAD)	907
Skewness	17.94668335
Sum	25371740
Variance	309852056.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	276	8.4%
11000	153	4.7%
2000	142	4.3%
3000	121	3.7%
14000	97	3.0%
12000	92	2.8%
13000	84	2.6%
10000	76	2.3%
18000	73	2.2%
15000	58	1.8%
Other values (714)	2111	64.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19	0.6%
2	3	0.1%
3	2	0.1%
5	2	0.1%
6	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	3	0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
640000	1	< 0.1%
260000	3	0.1%
164000	2	0.1%
137000	2	0.1%
87000	8	0.2%
77000	1	< 0.1%
49000	17	0.5%
46000	1	< 0.1%
45000	2	0.1%
44000	2	0.1%

gross
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2836
Distinct (%)	98.0%
Missing	393
Missing (%)	12.0%
Infinite	0
Infinite (%)	0.0%
Mean	50818577.63

Minimum	162
Maximum	760505847
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	162
5-th percentile	96772.35
Q1	6009417.25
median	26538990
Q3	64695209.5
95-th percentile	191073622.2
Maximum	760505847
Range	760505685
Interquartile range (IQR)	58685792.25

Descriptive statistics

Standard deviation	71357422.73
Coefficient of variation (CV)	1.404160173
Kurtosis	13.02186246
Mean	50818577.63
Median Absolute Deviation (MAD)	24031016.5
Skewness	2.979682183
Sum	1.470689637 × 10¹¹
Variance	5.091881778 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
177343675	3	0.1%
218051260	3	0.1%
79363785	2	0.1%
43771291	2	0.1%
34014398	2	0.1%
144512310	2	0.1%
50815288	2	0.1%
58607007	2	0.1%
28501651	2	0.1%
43982842	2	0.1%
Other values (2826)	2872	87.4%
(Missing)	393	12.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
162	1	< 0.1%
703	1	< 0.1%
721	1	< 0.1%
728	1	< 0.1%
828	1	< 0.1%
1332	1	< 0.1%
1521	1	< 0.1%
1711	1	< 0.1%
2436	1	< 0.1%
2468	1	< 0.1%

Value	Count	Frequency (%)
760505847	1	< 0.1%
652177271	1	< 0.1%
623279547	1	< 0.1%
533316061	1	< 0.1%
474544677	1	< 0.1%
458991599	1	< 0.1%
448130642	1	< 0.1%
436471036	1	< 0.1%
424645577	1	< 0.1%
423032628	1	< 0.1%

genres
Categorical

HIGH CARDINALITY

Distinct	688
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Memory size	273.8 KiB

Drama	158
Comedy	150
Comedy\|Drama\|Romance	129
Comedy\|Drama	128
Comedy\|Romance	124
Other values (683)	2598

Length

Max length	60
Median length	20
Mean length	20.28262854
Min length	5

Characters and Unicode

Total characters	66669
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	381 ?
Unique (%)	11.6%

Sample

1st row	Drama\|Horror\|Mystery\|Sci-Fi\|Thriller
2nd row	Drama
3rd row	Comedy\|Drama\|Romance
4th row	Adventure\|Comedy\|Family
5th row	Crime\|Drama\|Thriller

Common Values

Value	Count	Frequency (%)
Drama	158	4.8%
Comedy	150	4.6%
Comedy\|Drama\|Romance	129	3.9%
Comedy\|Drama	128	3.9%
Comedy\|Romance	124	3.8%
Drama\|Romance	105	3.2%
Crime\|Drama\|Thriller	76	2.3%
Horror	51	1.6%
Drama\|Thriller	51	1.6%
Action\|Crime\|Drama\|Thriller	48	1.5%
Other values (678)	2267	69.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	158	4.8%
comedy	150	4.6%
comedy\|drama\|romance	129	3.9%
comedy\|drama	128	3.9%
comedy\|romance	124	3.8%
drama\|romance	105	3.2%
crime\|drama\|thriller	76	2.3%
drama\|thriller	51	1.6%
horror	51	1.6%
action\|crime\|drama\|thriller	48	1.5%
Other values (678)	2267	69.0%

Most occurring characters

Value	Count	Frequency (%)
r	6838	10.3%
\|	6121	9.2%
a	5846	8.8%
e	5215	7.8%
m	4876	7.3%
i	4257	6.4%
o	4149	6.2%
y	3111	4.7%
n	2902	4.4%
t	2583	3.9%
Other values (23)	20771	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50366	75.5%
Uppercase Letter	9795	14.7%
Math Symbol	6121	9.2%
Dash Punctuation	387	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	6838	13.6%
a	5846	11.6%
e	5215	10.4%
m	4876	9.7%
i	4257	8.5%
o	4149	8.2%
y	3111	6.2%
n	2902	5.8%
t	2583	5.1%
l	2356	4.7%
Other values (9)	8233	16.3%

Uppercase Letter

Value	Count	Frequency (%)
C	1838	18.8%
D	1759	18.0%
A	1473	15.0%
F	1151	11.8%
T	956	9.8%
R	730	7.5%
M	544	5.6%
S	522	5.3%
H	471	4.8%
B	200	2.0%
Other values (2)	151	1.5%

Math Symbol

Value	Count	Frequency (%)
\|	6121	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	387	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60161	90.2%
Common	6508	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	6838	11.4%
a	5846	9.7%
e	5215	8.7%
m	4876	8.1%
i	4257	7.1%
o	4149	6.9%
y	3111	5.2%
n	2902	4.8%
t	2583	4.3%
l	2356	3.9%
Other values (21)	18028	30.0%

Common

Value	Count	Frequency (%)
\|	6121	94.1%
-	387	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66669	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	6838	10.3%
\|	6121	9.2%
a	5846	8.8%
e	5215	7.8%
m	4876	7.3%
i	4257	6.4%
o	4149	6.2%
y	3111	4.7%
n	2902	4.4%
t	2583	3.9%
Other values (23)	20771	31.2%

actor_1_name
Categorical

HIGH CARDINALITY

Distinct	1430
Distinct (%)	43.6%
Missing	4
Missing (%)	0.1%
Memory size	251.9 KiB

Johnny Depp	30
J.K. Simmons	29
Robert De Niro	28
Matt Damon	26
Nicolas Cage	23
Other values (1425)	3147

Length

Max length	27
Median length	13
Mean length	13.17605848
Min length	4

Characters and Unicode

Total characters	43257
Distinct characters	71
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	936 ?
Unique (%)	28.5%

Sample

1st row	Bradley Cooper
2nd row	Christopher Lambert
3rd row	Joseph Gordon-Levitt
4th row	Ioan Gruffudd
5th row	Brian Dennehy

Common Values

Value	Count	Frequency (%)
Johnny Depp	30	0.9%
J.K. Simmons	29	0.9%
Robert De Niro	28	0.9%
Matt Damon	26	0.8%
Nicolas Cage	23	0.7%
Robert Downey Jr.	23	0.7%
Liam Neeson	23	0.7%
Jason Statham	23	0.7%
Gerard Butler	21	0.6%
Scarlett Johansson	21	0.6%
Other values (1420)	3036	92.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
robert	69	1.0%
michael	61	0.9%
tom	57	0.8%
jason	44	0.6%
jennifer	41	0.6%
matt	40	0.6%
jr	38	0.6%
james	37	0.5%
will	37	0.5%
ryan	36	0.5%
Other values (2033)	6358	93.3%

Most occurring characters

Value	Count	Frequency (%)
e	4022	9.3%
a	3778	8.7%
	3535	8.2%
n	3139	7.3%
r	2758	6.4%
i	2739	6.3%
o	2489	5.8%
l	2216	5.1%
t	1655	3.8%
s	1551	3.6%
Other values (61)	15375	35.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32513	75.2%
Uppercase Letter	6997	16.2%
Space Separator	3535	8.2%
Other Punctuation	168	0.4%
Dash Punctuation	42	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4022	12.4%
a	3778	11.6%
n	3139	9.7%
r	2758	8.5%
i	2739	8.4%
o	2489	7.7%
l	2216	6.8%
t	1655	5.1%
s	1551	4.8%
h	1179	3.6%
Other values (27)	6987	21.5%

Uppercase Letter

Value	Count	Frequency (%)
J	678	9.7%
M	579	8.3%
C	555	7.9%
S	552	7.9%
D	477	6.8%
B	469	6.7%
R	413	5.9%
H	334	4.8%
A	325	4.6%
W	312	4.5%
Other values (18)	2303	32.9%

Other Punctuation

Value	Count	Frequency (%)
.	140	83.3%
'	28	16.7%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
0	1	50.0%

Space Separator

Value	Count	Frequency (%)
	3535	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39510	91.3%
Common	3747	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4022	10.2%
a	3778	9.6%
n	3139	7.9%
r	2758	7.0%
i	2739	6.9%
o	2489	6.3%
l	2216	5.6%
t	1655	4.2%
s	1551	3.9%
h	1179	3.0%
Other values (55)	13984	35.4%

Common

Value	Count	Frequency (%)
	3535	94.3%
.	140	3.7%
-	42	1.1%
'	28	0.7%
5	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43210	99.9%
Latin 1 Sup	47	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4022	9.3%
a	3778	8.7%
	3535	8.2%
n	3139	7.3%
r	2758	6.4%
i	2739	6.3%
o	2489	5.8%
l	2216	5.1%
t	1655	3.8%
s	1551	3.6%
Other values (48)	15328	35.5%

Latin 1 Sup

Value	Count	Frequency (%)
ë	15	31.9%
é	12	25.5%
á	4	8.5%
å	4	8.5%
à	2	4.3%
ø	2	4.3%
ñ	2	4.3%
Á	1	2.1%
í	1	2.1%
ô	1	2.1%
Other values (3)	3	6.4%

movie_title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3223
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Memory size	256.9 KiB

Ben-Hur	3
Home	3
King Kong	3
Oz the Great and Powerful	2
Goosebumps	2
Other values (3218)	3274

Length

Max length	83
Median length	13
Mean length	14.97322787
Min length	1

Characters and Unicode

Total characters	49217
Distinct characters	78
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3162 ?
Unique (%)	96.2%

Sample

1st row	10 Cloverfield Lane
2nd row	10 Days in a Madhouse
3rd row	10 Things I Hate About You
4th row	102 Dalmatians
5th row	10th & Wolf

Common Values

Value	Count	Frequency (%)
Ben-Hur	3	0.1%
Home	3	0.1%
King Kong	3	0.1%
Oz the Great and Powerful	2	0.1%
Goosebumps	2	0.1%
The Gambler	2	0.1%
RoboCop	2	0.1%
The Fast and the Furious	2	0.1%
The Island	2	0.1%
The Last House on the Left	2	0.1%
Other values (3213)	3264	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1030	11.6%
of	315	3.5%
a	110	1.2%
and	83	0.9%
in	77	0.9%
2	69	0.8%
to	69	0.8%
man	41	0.5%
	40	0.4%
movie	37	0.4%
Other values (3588)	7021	79.0%

Most occurring characters

Value	Count	Frequency (%)
	5605	11.4%
e	5075	10.3%
a	3011	6.1%
o	3002	6.1%
n	2686	5.5%
r	2600	5.3%
i	2543	5.2%
t	2469	5.0%
s	1944	3.9%
h	1918	3.9%
Other values (68)	18364	37.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34829	70.8%
Uppercase Letter	7825	15.9%
Space Separator	5605	11.4%
Other Punctuation	569	1.2%
Decimal Number	326	0.7%
Dash Punctuation	62	0.1%
Other Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5075	14.6%
a	3011	8.6%
o	3002	8.6%
n	2686	7.7%
r	2600	7.5%
i	2543	7.3%
t	2469	7.1%
s	1944	5.6%
h	1918	5.5%
l	1596	4.6%
Other values (19)	7985	22.9%

Uppercase Letter

Value	Count	Frequency (%)
T	1102	14.1%
S	680	8.7%
M	549	7.0%
B	500	6.4%
D	458	5.9%
C	438	5.6%
A	427	5.5%
L	373	4.8%
H	358	4.6%
W	331	4.2%
Other values (17)	2609	33.3%

Decimal Number

Value	Count	Frequency (%)
2	96	29.4%
3	51	15.6%
1	50	15.3%
0	49	15.0%
4	18	5.5%
8	17	5.2%
5	14	4.3%
9	12	3.7%
6	10	3.1%
7	9	2.8%

Other Punctuation

Value	Count	Frequency (%)
:	237	41.7%
'	139	24.4%
.	88	15.5%
,	40	7.0%
&	32	5.6%
!	15	2.6%
?	12	2.1%
/	5	0.9%
·	1	0.2%

Space Separator

Value	Count	Frequency (%)
	5605	100.0%

Other Symbol

Value	Count	Frequency (%)
°	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42654	86.7%
Common	6563	13.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5075	11.9%
a	3011	7.1%
o	3002	7.0%
n	2686	6.3%
r	2600	6.1%
i	2543	6.0%
t	2469	5.8%
s	1944	4.6%
h	1918	4.5%
l	1596	3.7%
Other values (46)	15810	37.1%

Common

Value	Count	Frequency (%)
	5605	85.4%
:	237	3.6%
'	139	2.1%
2	96	1.5%
.	88	1.3%
-	62	0.9%
3	51	0.8%
1	50	0.8%
0	49	0.7%
,	40	0.6%
Other values (12)	146	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49211	> 99.9%
Latin 1 Sup	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5605	11.4%
e	5075	10.3%
a	3011	6.1%
o	3002	6.1%
n	2686	5.5%
r	2600	5.3%
i	2543	5.2%
t	2469	5.0%
s	1944	4.0%
h	1918	3.9%
Other values (62)	18358	37.3%

Latin 1 Sup

Value	Count	Frequency (%)
Æ	1	16.7%
°	1	16.7%
ü	1	16.7%
é	1	16.7%
è	1	16.7%
·	1	16.7%

num_voted_users
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3211
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89896.06784

Minimum	6
Maximum	1676169
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	6
5-th percentile	515.8
Q1	10152
median	39788
Q3	108159
95-th percentile	351101.2
Maximum	1676169
Range	1676163
Interquartile range (IQR)	98007

Descriptive statistics

Standard deviation	139429.4095
Coefficient of variation (CV)	1.551006766
Kurtosis	21.7165376
Mean	89896.06784
Median Absolute Deviation (MAD)	35401
Skewness	3.734628914
Sum	295488375
Variance	1.944056022 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57	3	0.1%
62	3	0.1%
162	3	0.1%
38	3	0.1%
6	3	0.1%
53	3	0.1%
118	2	0.1%
143	2	0.1%
4377	2	0.1%
19547	2	0.1%
Other values (3201)	3261	99.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	3	0.1%
7	1	< 0.1%
8	2	0.1%
13	1	< 0.1%
15	2	0.1%
22	2	0.1%
23	1	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
27	1	< 0.1%

Value	Count	Frequency (%)
1676169	1	< 0.1%
1468200	1	< 0.1%
1347461	1	< 0.1%
1238746	1	< 0.1%
1217752	1	< 0.1%
1215718	1	< 0.1%
1144337	1	< 0.1%
1100446	1	< 0.1%
995415	1	< 0.1%
982637	1	< 0.1%

cast_total_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2861
Distinct (%)	87.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11334.00791

Minimum	0
Maximum	656730
Zeros	23
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	278
Q1	1738.5
median	3769
Q3	15773.5
95-th percentile	40014.2
Maximum	656730
Range	656730
Interquartile range (IQR)	14035

Descriptive statistics

Standard deviation	20947.7558
Coefficient of variation (CV)	1.848221385
Kurtosis	308.8798109
Mean	11334.00791
Median Absolute Deviation (MAD)	2927
Skewness	12.47454243
Sum	37254884
Variance	438808472.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	23	0.7%
2020	4	0.1%
1651	3	0.1%
1554	3	0.1%
2486	3	0.1%
210	3	0.1%
2259	3	0.1%
1825	3	0.1%
2705	3	0.1%
2251	3	0.1%
Other values (2851)	3236	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	23	0.7%
2	3	0.1%
3	1	< 0.1%
5	2	0.1%
6	1	< 0.1%
10	1	< 0.1%
12	1	< 0.1%
15	3	0.1%
19	1	< 0.1%
21	1	< 0.1%

Value	Count	Frequency (%)
656730	1	< 0.1%
303717	1	< 0.1%
283939	1	< 0.1%
263584	1	< 0.1%
261818	1	< 0.1%
170118	1	< 0.1%
140268	1	< 0.1%
137712	1	< 0.1%
120797	1	< 0.1%
108016	1	< 0.1%

actor_3_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2404
Distinct (%)	73.4%
Missing	10
Missing (%)	0.3%
Memory size	251.7 KiB

Steve Coogan	8
Ben Mendelsohn	7
Stephen Root	7
Sam Shepard	6
Jose Pablo Cantillo	6
Other values (2399)	3243

Length

Max length	29
Median length	13
Mean length	13.06591395
Min length	3

Characters and Unicode

Total characters	42817
Distinct characters	78
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1843 ?
Unique (%)	56.2%

Sample

1st row	Sumalee Montano
2nd row	Alexandra Callas
3rd row	Andrew Keegan
4th row	Jim Carter
5th row	Dash Mihok

Common Values

Value	Count	Frequency (%)
Steve Coogan	8	0.2%
Ben Mendelsohn	7	0.2%
Stephen Root	7	0.2%
Sam Shepard	6	0.2%
Jose Pablo Cantillo	6	0.2%
Thomas Lennon	6	0.2%
Anne Hathaway	6	0.2%
Steve Carell	6	0.2%
Mike Epps	6	0.2%
Derek Jacobi	5	0.2%
Other values (2394)	3214	97.8%
(Missing)	10	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	65	1.0%
james	49	0.7%
david	45	0.7%
john	38	0.6%
tom	30	0.4%
steve	29	0.4%
robert	26	0.4%
chris	24	0.4%
smith	24	0.4%
peter	24	0.4%
Other values (3140)	6423	94.8%

Most occurring characters

Value	Count	Frequency (%)
e	4051	9.5%
a	3968	9.3%
	3500	8.2%
n	3003	7.0%
r	2721	6.4%
i	2629	6.1%
o	2263	5.3%
l	2231	5.2%
t	1531	3.6%
s	1517	3.5%
Other values (68)	15403	36.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32136	75.1%
Uppercase Letter	6986	16.3%
Space Separator	3500	8.2%
Other Punctuation	144	0.3%
Dash Punctuation	49	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4051	12.6%
a	3968	12.3%
n	3003	9.3%
r	2721	8.5%
i	2629	8.2%
o	2263	7.0%
l	2231	6.9%
t	1531	4.8%
s	1517	4.7%
h	1226	3.8%
Other values (33)	6996	21.8%

Uppercase Letter

Value	Count	Frequency (%)
M	664	9.5%
S	555	7.9%
J	553	7.9%
B	527	7.5%
C	519	7.4%
D	436	6.2%
A	417	6.0%
R	403	5.8%
L	347	5.0%
T	294	4.2%
Other values (19)	2271	32.5%

Other Punctuation

Value	Count	Frequency (%)
.	105	72.9%
'	39	27.1%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
0	1	50.0%

Space Separator

Value	Count	Frequency (%)
	3500	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	49	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39122	91.4%
Common	3695	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4051	10.4%
a	3968	10.1%
n	3003	7.7%
r	2721	7.0%
i	2629	6.7%
o	2263	5.8%
l	2231	5.7%
t	1531	3.9%
s	1517	3.9%
h	1226	3.1%
Other values (62)	13982	35.7%

Common

Value	Count	Frequency (%)
	3500	94.7%
.	105	2.8%
-	49	1.3%
'	39	1.1%
5	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42747	99.8%
Latin 1 Sup	70	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4051	9.5%
a	3968	9.3%
	3500	8.2%
n	3003	7.0%
r	2721	6.4%
i	2629	6.2%
o	2263	5.3%
l	2231	5.2%
t	1531	3.6%
s	1517	3.5%
Other values (48)	15333	35.9%

Latin 1 Sup

Value	Count	Frequency (%)
é	23	32.9%
ë	6	8.6%
í	6	8.6%
ó	5	7.1%
à	5	7.1%
á	5	7.1%
ü	4	5.7%
å	2	2.9%
ø	2	2.9%
Ó	2	2.9%
Other values (10)	10	14.3%

facenumber_in_poster
Real number (ℝ_≥0)

ZEROS

Distinct	17
Distinct (%)	0.5%
Missing	12
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	1.423206107

Minimum	0
Maximum	31
Zeros	1386
Zeros (%)	42.2%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	31
Range	31
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.015019682
Coefficient of variation (CV)	1.41583125
Kurtosis	21.47244929
Mean	1.423206107
Median Absolute Deviation (MAD)	1
Skewness	3.12564875
Sum	4661
Variance	4.060304318
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	1386	42.2%
1	800	24.3%
2	447	13.6%
3	267	8.1%
4	144	4.4%
5	78	2.4%
6	54	1.6%
7	38	1.2%
8	27	0.8%
9	12	0.4%
Other values (7)	22	0.7%
(Missing)	12	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1386	42.2%
1	800	24.3%
2	447	13.6%
3	267	8.1%
4	144	4.4%
5	78	2.4%
6	54	1.6%
7	38	1.2%
8	27	0.8%
9	12	0.4%

Value	Count	Frequency (%)
31	1	< 0.1%
19	1	< 0.1%
15	4	0.1%
13	2	0.1%
12	3	0.1%
11	4	0.1%
10	7	0.2%
9	12	0.4%
8	27	0.8%
7	38	1.2%

plot_keywords
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	3119
Distinct (%)	97.9%
Missing	102
Missing (%)	3.1%
Memory size	370.0 KiB

based on novel	4
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3
coma\|mysterious villain\|police chase\|shooting range\|sniper	2
astronaut\|electrocuted in bathtub\|mission\|pilot\|sister	2
Other values (3114)	3171

Length

Max length	138
Median length	50
Mean length	52.66813187
Min length	2

Characters and Unicode

Total characters	167748
Distinct characters	42
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3057 ?
Unique (%)	96.0%

Sample

1st row	alien\|bunker\|car crash\|kidnapping\|minimal cast
2nd row	dating\|protective father\|school\|shrew\|teen movie
3rd row	dog\|parole\|parole officer\|prison\|puppy
4th row	desert storm\|fbi\|fbi agent\|fragmentation grenade\|woman kills attacker
5th row	convenience store\|multiple perspectives\|murder\|paramedic\|van

Common Values

Value	Count	Frequency (%)
based on novel	4	0.1%
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3	0.1%
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3	0.1%
coma\|mysterious villain\|police chase\|shooting range\|sniper	2	0.1%
astronaut\|electrocuted in bathtub\|mission\|pilot\|sister	2	0.1%
kissing in an elevator\|mythical hero\|neo noir\|protective male\|silent protagonist	2	0.1%
babysitting\|experiment\|nightmare\|possession\|twin	2	0.1%
disposing of a dead body\|high school student\|murder\|sociopath\|teenage boy	2	0.1%
alien\|earth\|giant robot\|military\|scientist	2	0.1%
clinical trial\|female protagonist\|neuropharmacology\|psychiatrist\|side effect	2	0.1%
Other values (3109)	3161	96.2%
(Missing)	102	3.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
in	234	2.0%
of	150	1.3%
on	144	1.2%
to	124	1.0%
the	123	1.0%
a	122	1.0%
york	82	0.7%
based	79	0.7%
female	66	0.6%
by	60	0.5%
Other values (7804)	10689	90.0%

Most occurring characters

Value	Count	Frequency (%)
e	16399	9.8%
a	12730	7.6%
\|	12473	7.4%
i	12248	7.3%
r	11824	7.0%
t	10582	6.3%
n	10315	6.1%
o	10155	6.1%
	8688	5.2%
s	8628	5.1%
Other values (32)	53706	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	145811	86.9%
Math Symbol	12473	7.4%
Space Separator	8688	5.2%
Decimal Number	641	0.4%
Other Punctuation	133	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	16399	11.2%
a	12730	8.7%
i	12248	8.4%
r	11824	8.1%
t	10582	7.3%
n	10315	7.1%
o	10155	7.0%
s	8628	5.9%
l	7189	4.9%
c	6170	4.2%
Other values (16)	39571	27.1%

Decimal Number

Value	Count	Frequency (%)
0	158	24.6%
1	158	24.6%
9	118	18.4%
2	54	8.4%
8	34	5.3%
5	29	4.5%
7	27	4.2%
3	23	3.6%
6	22	3.4%
4	18	2.8%

Other Punctuation

Value	Count	Frequency (%)
.	83	62.4%
'	50	37.6%

Math Symbol

Value	Count	Frequency (%)
\|	12473	100.0%

Space Separator

Value	Count	Frequency (%)
	8688	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	145811	86.9%
Common	21937	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	16399	11.2%
a	12730	8.7%
i	12248	8.4%
r	11824	8.1%
t	10582	7.3%
n	10315	7.1%
o	10155	7.0%
s	8628	5.9%
l	7189	4.9%
c	6170	4.2%
Other values (16)	39571	27.1%

Common

Value	Count	Frequency (%)
\|	12473	56.9%
	8688	39.6%
0	158	0.7%
1	158	0.7%
9	118	0.5%
.	83	0.4%
2	54	0.2%
'	50	0.2%
8	34	0.2%
5	29	0.1%
Other values (6)	92	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	167748	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	16399	9.8%
a	12730	7.6%
\|	12473	7.4%
i	12248	7.3%
r	11824	7.0%
t	10582	6.3%
n	10315	6.1%
o	10155	6.1%
	8688	5.2%
s	8628	5.1%
Other values (32)	53706	32.0%

movie_imdb_link
URL

Distinct	3225
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Memory size	375.6 KiB

http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt2638144/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt2039393/?ref_=fn_tt_tt_1	2
http://www.imdb.com/title/tt1104001/?ref_=fn_tt_tt_1	2
Other values (3220)	3274

Value	Count	Frequency (%)
http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2638144/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2039393/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt1104001/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt1742334/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt1661199/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt0397065/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt0413300/?ref_=fn_tt_tt_1	2	0.1%
Other values (3215)	3264	99.3%

Value	Count	Frequency (%)
http	3287	100.0%

Value	Count	Frequency (%)
www.imdb.com	3287	100.0%

Value	Count	Frequency (%)
/title/tt2224026/	3	0.1%
/title/tt0360717/	3	0.1%
/title/tt2638144/	3	0.1%
/title/tt1051904/	2	0.1%
/title/tt1401152/	2	0.1%
/title/tt3040964/	2	0.1%
/title/tt1139668/	2	0.1%
/title/tt0365737/	2	0.1%
/title/tt0380510/	2	0.1%
/title/tt1291150/	2	0.1%
Other values (3215)	3264	99.3%

Value	Count	Frequency (%)
ref_=fn_tt_tt_1	3287	100.0%

Value	Count	Frequency (%)
	3287	100.0%

num_user_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	861
Distinct (%)	26.3%
Missing	11
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	306.0897436

Minimum	1
Maximum	5060
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	75
median	177
Q3	371.25
95-th percentile	1017.25
Maximum	5060
Range	5059
Interquartile range (IQR)	296.25

Descriptive statistics

Standard deviation	418.2106594
Coefficient of variation (CV)	1.366300793
Kurtosis	22.24593955
Mean	306.0897436
Median Absolute Deviation (MAD)	125
Skewness	3.847411559
Sum	1002750
Variance	174900.1556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	35	1.1%
3	27	0.8%
8	22	0.7%
10	21	0.6%
2	21	0.6%
53	17	0.5%
6	17	0.5%
20	17	0.5%
26	16	0.5%
15	16	0.5%
Other values (851)	3067	93.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	35	1.1%
2	21	0.6%
3	27	0.8%
4	12	0.4%
5	11	0.3%
6	17	0.5%
7	7	0.2%
8	22	0.7%
9	14	0.4%
10	21	0.6%

Value	Count	Frequency (%)
5060	1	< 0.1%
4667	1	< 0.1%
3646	1	< 0.1%
3597	1	< 0.1%
3516	1	< 0.1%
3400	1	< 0.1%
3286	1	< 0.1%
3189	1	< 0.1%
3054	1	< 0.1%
3018	1	< 0.1%

language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	0.9%
Missing	4
Missing (%)	0.1%
Memory size	230.9 KiB

English	3196
French	18
Hindi	16
Spanish	8
German	6
Other values (24)	39

Length

Max length	10
Median length	7
Mean length	6.980810235
Min length	4

Characters and Unicode

Total characters	22918
Distinct characters	37
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	0.4%

Sample

1st row	English
2nd row	English
3rd row	English
4th row	English
5th row	English

Common Values

Value	Count	Frequency (%)
English	3196	97.2%
French	18	0.5%
Hindi	16	0.5%
Spanish	8	0.2%
German	6	0.2%
Hebrew	4	0.1%
Mandarin	3	0.1%
Russian	2	0.1%
Aboriginal	2	0.1%
Korean	2	0.1%
Other values (19)	26	0.8%
(Missing)	4	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	3196	97.3%
french	18	0.5%
hindi	16	0.5%
spanish	8	0.2%
german	6	0.2%
hebrew	4	0.1%
mandarin	3	0.1%
japanese	2	0.1%
dari	2	0.1%
norwegian	2	0.1%
Other values (19)	26	0.8%

Most occurring characters

Value	Count	Frequency (%)
n	3274	14.3%
i	3265	14.2%
h	3226	14.1%
s	3218	14.0%
l	3204	14.0%
g	3201	14.0%
E	3196	13.9%
a	52	0.2%
e	49	0.2%
r	45	0.2%
Other values (27)	188	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19635	85.7%
Uppercase Letter	3283	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	3274	16.7%
i	3265	16.6%
h	3226	16.4%
s	3218	16.4%
l	3204	16.3%
g	3201	16.3%
a	52	0.3%
e	49	0.2%
r	45	0.2%
c	21	0.1%
Other values (9)	80	0.4%

Uppercase Letter

Value	Count	Frequency (%)
E	3196	97.3%
H	20	0.6%
F	19	0.6%
S	9	0.3%
G	6	0.2%
A	5	0.2%
P	4	0.1%
M	4	0.1%
N	3	0.1%
D	3	0.1%
Other values (8)	14	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22918	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	3274	14.3%
i	3265	14.2%
h	3226	14.1%
s	3218	14.0%
l	3204	14.0%
g	3201	14.0%
E	3196	13.9%
a	52	0.2%
e	49	0.2%
r	45	0.2%
Other values (27)	188	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	3274	14.3%
i	3265	14.2%
h	3226	14.1%
s	3218	14.0%
l	3204	14.0%
g	3201	14.0%
E	3196	13.9%
a	52	0.2%
e	49	0.2%
r	45	0.2%
Other values (27)	188	0.8%

country
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	44
Distinct (%)	1.3%
Missing	1
Missing (%)	< 0.1%
Memory size	219.5 KiB

USA	2590
UK	280
Canada	86
France	79
Germany	74
Other values (39)	177

Length

Max length	14
Median length	3
Mean length	3.398052343
Min length	2

Characters and Unicode

Total characters	11166
Distinct characters	43
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	0.5%

Sample

1st row	USA
2nd row	USA
3rd row	USA
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	2590	78.8%
UK	280	8.5%
Canada	86	2.6%
France	79	2.4%
Germany	74	2.3%
Australia	33	1.0%
Spain	20	0.6%
India	16	0.5%
New Zealand	13	0.4%
Ireland	10	0.3%
Other values (34)	85	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	2590	78.0%
uk	280	8.4%
canada	86	2.6%
france	79	2.4%
germany	74	2.2%
australia	33	1.0%
spain	20	0.6%
india	16	0.5%
new	13	0.4%
zealand	13	0.4%
Other values (38)	115	3.5%

Most occurring characters

Value	Count	Frequency (%)
U	2870	25.7%
A	2631	23.6%
S	2624	23.5%
a	629	5.6%
n	345	3.1%
K	292	2.6%
r	229	2.1%
e	227	2.0%
d	135	1.2%
i	113	1.0%
Other values (33)	1071	9.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8779	78.6%
Lowercase Letter	2354	21.1%
Space Separator	33	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	629	26.7%
n	345	14.7%
r	229	9.7%
e	227	9.6%
d	135	5.7%
i	113	4.8%
c	98	4.2%
m	89	3.8%
y	87	3.7%
l	82	3.5%
Other values (13)	320	13.6%

Uppercase Letter

Value	Count	Frequency (%)
U	2870	32.7%
A	2631	30.0%
S	2624	29.9%
K	292	3.3%
C	96	1.1%
F	80	0.9%
G	76	0.9%
I	37	0.4%
N	18	0.2%
Z	13	0.1%
Other values (9)	42	0.5%

Space Separator

Value	Count	Frequency (%)
	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11133	99.7%
Common	33	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2870	25.8%
A	2631	23.6%
S	2624	23.6%
a	629	5.6%
n	345	3.1%
K	292	2.6%
r	229	2.1%
e	227	2.0%
d	135	1.2%
i	113	1.0%
Other values (32)	1038	9.3%

Common

Value	Count	Frequency (%)
	33	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11166	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2870	25.7%
A	2631	23.6%
S	2624	23.5%
a	629	5.6%
n	345	3.1%
K	292	2.6%
r	229	2.1%
e	227	2.0%
d	135	1.2%
i	113	1.0%
Other values (33)	1071	9.6%

content_rating
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	0.3%
Missing	157
Missing (%)	4.8%
Memory size	213.5 KiB

R	1386
PG-13	1157
PG	427
Not Rated	62
G	61
Other values (5)	37

Length

Max length	9
Median length	2
Mean length	2.836421725
Min length	1

Characters and Unicode

Total characters	8878
Distinct characters	21
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PG-13
2nd row	R
3rd row	PG-13
4th row	G
5th row	R

Common Values

Value	Count	Frequency (%)
R	1386	42.2%
PG-13	1157	35.2%
PG	427	13.0%
Not Rated	62	1.9%
G	61	1.9%
Unrated	26	0.8%
TV-PG	3	0.1%
TV-G	3	0.1%
NC-17	3	0.1%
TV-14	2	0.1%
(Missing)	157	4.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
r	1386	43.4%
pg-13	1157	36.2%
pg	427	13.4%
not	62	1.9%
rated	62	1.9%
g	61	1.9%
unrated	26	0.8%
nc-17	3	0.1%
tv-g	3	0.1%
tv-pg	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
G	1651	18.6%
P	1587	17.9%
R	1448	16.3%
-	1168	13.2%
1	1162	13.1%
3	1157	13.0%
t	150	1.7%
a	88	1.0%
e	88	1.0%
d	88	1.0%
Other values (11)	291	3.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4796	54.0%
Decimal Number	2324	26.2%
Dash Punctuation	1168	13.2%
Lowercase Letter	528	5.9%
Space Separator	62	0.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
G	1651	34.4%
P	1587	33.1%
R	1448	30.2%
N	65	1.4%
U	26	0.5%
T	8	0.2%
V	8	0.2%
C	3	0.1%

Lowercase Letter

Value	Count	Frequency (%)
t	150	28.4%
a	88	16.7%
e	88	16.7%
d	88	16.7%
o	62	11.7%
n	26	4.9%
r	26	4.9%

Decimal Number

Value	Count	Frequency (%)
1	1162	50.0%
3	1157	49.8%
7	3	0.1%
4	2	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1168	100.0%

Space Separator

Value	Count	Frequency (%)
	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5324	60.0%
Common	3554	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
G	1651	31.0%
P	1587	29.8%
R	1448	27.2%
t	150	2.8%
a	88	1.7%
e	88	1.7%
d	88	1.7%
N	65	1.2%
o	62	1.2%
U	26	0.5%
Other values (5)	71	1.3%

Common

Value	Count	Frequency (%)
-	1168	32.9%
1	1162	32.7%
3	1157	32.6%
	62	1.7%
7	3	0.1%
4	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8878	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	1651	18.6%
P	1587	17.9%
R	1448	16.3%
-	1168	13.2%
1	1162	13.1%
3	1157	13.0%
t	150	1.7%
a	88	1.0%
e	88	1.0%
d	88	1.0%
Other values (11)	291	3.3%

budget_x
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	318
Distinct (%)	10.5%
Missing	265
Missing (%)	8.1%
Infinite	0
Infinite (%)	0.0%
Mean	43125533.18

Minimum	218
Maximum	1.22155 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	218
5-th percentile	552500
Q1	8000000
median	23000000
Q3	50000000
95-th percentile	145000000
Maximum	1.22155 × 10¹⁰
Range	1.221549978 × 10¹⁰
Interquartile range (IQR)	42000000

Descriptive statistics

Standard deviation	226396795.4
Coefficient of variation (CV)	5.249715859
Kurtosis	2768.629249
Mean	43125533.18
Median Absolute Deviation (MAD)	17400000
Skewness	51.50092352
Sum	1.303253613 × 10¹¹
Variance	5.125550899 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20000000	121	3.7%
30000000	108	3.3%
15000000	99	3.0%
40000000	97	3.0%
25000000	91	2.8%
10000000	89	2.7%
35000000	89	2.7%
60000000	74	2.3%
5000000	69	2.1%
50000000	69	2.1%
Other values (308)	2116	64.4%
(Missing)	265	8.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
218	1	< 0.1%
1100	1	< 0.1%
1400	1	< 0.1%
4500	1	< 0.1%
7000	2	0.1%
9000	1	< 0.1%
10000	1	< 0.1%
13000	1	< 0.1%
15000	4	0.1%
17350	1	< 0.1%

Value	Count	Frequency (%)
1.22155 × 10¹⁰	1	< 0.1%
600000000	1	< 0.1%
300000000	1	< 0.1%
263700000	1	< 0.1%
260000000	1	< 0.1%
258000000	2	0.1%
250000000	7	0.2%
245000000	1	< 0.1%
237000000	1	< 0.1%
230000000	1	< 0.1%

title_year
Real number (ℝ_≥0)

Distinct	19
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2007.629449

Minimum	1980
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	1980
5-th percentile	2000
Q1	2004
median	2008
Q3	2012
95-th percentile	2015
Maximum	2016
Range	36
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.976043317
Coefficient of variation (CV)	0.002478566609
Kurtosis	-0.8841822536
Mean	2007.629449
Median Absolute Deviation (MAD)	4
Skewness	-0.1387091271
Sum	6599078
Variance	24.76100709
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2009	227	6.9%
2014	218	6.6%
2006	209	6.4%
2010	200	6.1%
2011	197	6.0%
2013	196	6.0%
2012	196	6.0%
2008	195	5.9%
2015	194	5.9%
2005	188	5.7%
Other values (9)	1267	38.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1980	1	< 0.1%
1999	160	4.9%
2000	155	4.7%
2001	164	5.0%
2002	187	5.7%
2003	150	4.6%
2004	178	5.4%
2005	188	5.7%
2006	209	6.4%
2007	180	5.5%

Value	Count	Frequency (%)
2016	92	2.8%
2015	194	5.9%
2014	218	6.6%
2013	196	6.0%
2012	196	6.0%
2011	197	6.0%
2010	200	6.1%
2009	227	6.9%
2008	195	5.9%
2007	180	5.5%

actor_2_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	849
Distinct (%)	25.9%
Missing	7
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	1916.15122

Minimum	0
Maximum	137000
Zeros	34
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	44
Q1	346
median	651
Q3	968
95-th percentile	11000
Maximum	137000
Range	137000
Interquartile range (IQR)	622

Descriptive statistics

Standard deviation	4527.883106
Coefficient of variation (CV)	2.363009276
Kurtosis	246.1031193
Mean	1916.15122
Median Absolute Deviation (MAD)	311
Skewness	10.08853541
Sum	6284976
Variance	20501725.42
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	226	6.9%
11000	81	2.5%
2000	80	2.4%
3000	69	2.1%
10000	37	1.1%
0	34	1.0%
13000	29	0.9%
14000	28	0.9%
4000	27	0.8%
826	26	0.8%
Other values (839)	2643	80.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34	1.0%
2	6	0.2%
3	5	0.2%
4	4	0.1%
5	5	0.2%
6	2	0.1%
7	1	< 0.1%
8	4	0.1%
9	6	0.2%
10	5	0.2%

Value	Count	Frequency (%)
137000	1	< 0.1%
27000	2	0.1%
25000	3	0.1%
23000	6	0.2%
22000	9	0.3%
21000	3	0.1%
20000	6	0.2%
19000	5	0.2%
18000	7	0.2%
17000	13	0.4%

imdb_score
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	75
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.29756617

Minimum	1.6
Maximum	9.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	1.6
5-th percentile	4.23
Q1	5.7
median	6.4
Q3	7.1
95-th percentile	7.8
Maximum	9.1
Range	7.5
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	1.099479837
Coefficient of variation (CV)	0.1745880564
Kurtosis	1.077245072
Mean	6.29756617
Median Absolute Deviation (MAD)	0.7
Skewness	-0.7992152456
Sum	20700.1
Variance	1.208855913
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	154	4.7%
6.4	140	4.3%
6.5	139	4.2%
6.6	130	4.0%
6.3	126	3.8%
7.1	123	3.7%
7	123	3.7%
6.1	122	3.7%
6.2	119	3.6%
7.3	119	3.6%
Other values (65)	1992	60.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.6	1	< 0.1%
1.7	1	< 0.1%
1.9	3	0.1%
2	2	0.1%
2.1	3	0.1%
2.2	3	0.1%
2.3	2	0.1%
2.4	2	0.1%
2.5	2	0.1%
2.6	1	< 0.1%

Value	Count	Frequency (%)
9.1	1	< 0.1%
9	1	< 0.1%
8.9	1	< 0.1%
8.8	3	0.1%
8.7	4	0.1%
8.6	2	0.1%
8.5	11	0.3%
8.4	7	0.2%
8.3	14	0.4%
8.2	12	0.4%

aspect_ratio
Real number (ℝ_≥0)

MISSING

Distinct	17
Distinct (%)	0.6%
Missing	213
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.161662329

Minimum	1.33
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	1.33
5-th percentile	1.85
Q1	1.85
median	2.35
Q3	2.35
95-th percentile	2.35
Maximum	16
Range	14.67
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.7549083137
Coefficient of variation (CV)	0.3492258266
Kurtosis	291.5634928
Mean	2.161662329
Median Absolute Deviation (MAD)	0
Skewness	16.00766404
Sum	6644.95
Variance	0.5698865622
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2.35	1724	52.4%
1.85	1183	36.0%
1.78	75	2.3%
1.66	21	0.6%
1.33	19	0.6%
1.37	18	0.5%
2.39	13	0.4%
16	8	0.2%
2.4	3	0.1%
2	3	0.1%
Other values (7)	7	0.2%
(Missing)	213	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.33	19	0.6%
1.37	18	0.5%
1.44	1	< 0.1%
1.5	1	< 0.1%
1.66	21	0.6%
1.75	1	< 0.1%
1.78	75	2.3%
1.85	1183	36.0%
2	3	0.1%
2.2	1	< 0.1%

Value	Count	Frequency (%)
16	8	0.2%
2.76	1	< 0.1%
2.55	1	< 0.1%
2.4	3	0.1%
2.39	13	0.4%
2.35	1724	52.4%
2.24	1	< 0.1%
2.2	1	< 0.1%
2	3	0.1%
1.85	1183	36.0%

movie_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	702
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9646.21296

Minimum	0
Maximum	349000
Zeros	1353
Zeros (%)	41.2%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	246
Q3	11000
95-th percentile	52700
Maximum	349000
Range	349000
Interquartile range (IQR)	11000

Descriptive statistics

Standard deviation	22508.74244
Coefficient of variation (CV)	2.333427899
Kurtosis	31.50125416
Mean	9646.21296
Median Absolute Deviation (MAD)	246
Skewness	4.446008683
Sum	31707102
Variance	506643486.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1353	41.2%
10000	67	2.0%
1000	59	1.8%
11000	51	1.6%
13000	45	1.4%
15000	43	1.3%
12000	39	1.2%
16000	35	1.1%
14000	33	1.0%
2000	29	0.9%
Other values (692)	1533	46.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1353	41.2%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
7	2	0.1%
8	1	< 0.1%
9	2	0.1%
10	1	< 0.1%
12	2	0.1%

Value	Count	Frequency (%)
349000	1	< 0.1%
199000	1	< 0.1%
197000	1	< 0.1%
191000	1	< 0.1%
190000	1	< 0.1%
175000	1	< 0.1%
166000	1	< 0.1%
165000	1	< 0.1%
164000	1	< 0.1%
153000	1	< 0.1%

Horror
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2926
1	361

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2926	89.0%
1	361	11.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2926	89.0%
1	361	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	2926	89.0%
1	361	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2926	89.0%
1	361	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2926	89.0%
1	361	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2926	89.0%
1	361	11.0%

History
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3177
1	110

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3177	96.7%
1	110	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3177	96.7%
1	110	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	3177	96.7%
1	110	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3177	96.7%
1	110	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3177	96.7%
1	110	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3177	96.7%
1	110	3.3%

Action
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2568
1	719

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2568	78.1%
1	719	21.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2568	78.1%
1	719	21.9%

Most occurring characters

Value	Count	Frequency (%)
0	2568	78.1%
1	719	21.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2568	78.1%
1	719	21.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2568	78.1%
1	719	21.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2568	78.1%
1	719	21.9%

Musical
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3220
1	67

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3220	98.0%
1	67	2.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3220	98.0%
1	67	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	3220	98.0%
1	67	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3220	98.0%
1	67	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3220	98.0%
1	67	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3220	98.0%
1	67	2.0%

Romance
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2557
1	730

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2557	77.8%
1	730	22.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2557	77.8%
1	730	22.2%

Most occurring characters

Value	Count	Frequency (%)
0	2557	77.8%
1	730	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2557	77.8%
1	730	22.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2557	77.8%
1	730	22.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2557	77.8%
1	730	22.2%

Crime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2716
1	571

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2716	82.6%
1	571	17.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2716	82.6%
1	571	17.4%

Most occurring characters

Value	Count	Frequency (%)
0	2716	82.6%
1	571	17.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2716	82.6%
1	571	17.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2716	82.6%
1	571	17.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2716	82.6%
1	571	17.4%

Reality-TV
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3287

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3287	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3287	100.0%

Family
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2910
1	377

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2910	88.5%
1	377	11.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2910	88.5%
1	377	11.5%

Most occurring characters

Value	Count	Frequency (%)
0	2910	88.5%
1	377	11.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2910	88.5%
1	377	11.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2910	88.5%
1	377	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2910	88.5%
1	377	11.5%

News
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3284
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3284	99.9%
1	3	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3284	99.9%
1	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3284	99.9%
1	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3284	99.9%
1	3	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3284	99.9%
1	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3284	99.9%
1	3	0.1%

Music
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3148
1	139

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3148	95.8%
1	139	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3148	95.8%
1	139	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	3148	95.8%
1	139	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3148	95.8%
1	139	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3148	95.8%
1	139	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3148	95.8%
1	139	4.2%

Comedy
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2020
1	1267

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2020	61.5%
1	1267	38.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2020	61.5%
1	1267	38.5%

Most occurring characters

Value	Count	Frequency (%)
0	2020	61.5%
1	1267	38.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2020	61.5%
1	1267	38.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2020	61.5%
1	1267	38.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2020	61.5%
1	1267	38.5%

Biography
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3087
1	200

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3087	93.9%
1	200	6.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3087	93.9%
1	200	6.1%

Most occurring characters

Value	Count	Frequency (%)
0	3087	93.9%
1	200	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3087	93.9%
1	200	6.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3087	93.9%
1	200	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3087	93.9%
1	200	6.1%

Thriller
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2331
1	956

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2331	70.9%
1	956	29.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2331	70.9%
1	956	29.1%

Most occurring characters

Value	Count	Frequency (%)
0	2331	70.9%
1	956	29.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2331	70.9%
1	956	29.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2331	70.9%
1	956	29.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2331	70.9%
1	956	29.1%

Game-Show
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3287

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3287	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3287	100.0%

Documentary
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3193
1	94

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3193	97.1%
1	94	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3193	97.1%
1	94	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	3193	97.1%
1	94	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3193	97.1%
1	94	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3193	97.1%
1	94	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3193	97.1%
1	94	2.9%

Sport
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3154
1	133

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3154	96.0%
1	133	4.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3154	96.0%
1	133	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	3154	96.0%
1	133	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3154	96.0%
1	133	4.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3154	96.0%
1	133	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3154	96.0%
1	133	4.0%

Mystery
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2949
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2949	89.7%
1	338	10.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2949	89.7%
1	338	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	2949	89.7%
1	338	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2949	89.7%
1	338	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2949	89.7%
1	338	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2949	89.7%
1	338	10.3%

Short
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3285
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3285	99.9%
1	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3285	99.9%
1	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3285	99.9%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3285	99.9%
1	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3285	99.9%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3285	99.9%
1	2	0.1%

Animation
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3115
1	172

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3115	94.8%
1	172	5.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3115	94.8%
1	172	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	3115	94.8%
1	172	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3115	94.8%
1	172	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3115	94.8%
1	172	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3115	94.8%
1	172	5.2%

War
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3185
1	102

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3185	96.9%
1	102	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3185	96.9%
1	102	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	3185	96.9%
1	102	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3185	96.9%
1	102	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3185	96.9%
1	102	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3185	96.9%
1	102	3.1%

Western
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3241
1	46

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3241	98.6%
1	46	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3241	98.6%
1	46	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	3241	98.6%
1	46	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3241	98.6%
1	46	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3241	98.6%
1	46	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3241	98.6%
1	46	1.4%

Adventure
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2705
1	582

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2705	82.3%
1	582	17.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2705	82.3%
1	582	17.7%

Most occurring characters

Value	Count	Frequency (%)
0	2705	82.3%
1	582	17.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2705	82.3%
1	582	17.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2705	82.3%
1	582	17.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2705	82.3%
1	582	17.7%

Sci-Fi
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2900
1	387

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring characters

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Drama
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

1	1665
0	1622

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	1665	50.7%
0	1622	49.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1665	50.7%
0	1622	49.3%

Most occurring characters

Value	Count	Frequency (%)
1	1665	50.7%
0	1622	49.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1665	50.7%
0	1622	49.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1665	50.7%
0	1622	49.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1665	50.7%
0	1622	49.3%

Film-Noir
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	3287

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3287	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3287	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3287	100.0%

Fantasy
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.9 KiB

0	2900
1	387

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3287
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring characters

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3287	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3287	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2900	88.2%
1	387	11.8%

budget_y
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	341
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35350373.79

Minimum	0
Maximum	380000000
Zeros	549
Zeros (%)	16.7%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3000000
median	20000000
Q3	50000000
95-th percentile	140000000
Maximum	380000000
Range	380000000
Interquartile range (IQR)	47000000

Descriptive statistics

Standard deviation	45733691.98
Coefficient of variation (CV)	1.293725839
Kurtosis	5.442216495
Mean	35350373.79
Median Absolute Deviation (MAD)	19600000
Skewness	2.132829134
Sum	1.161966786 × 10¹¹
Variance	2.091570582 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	549	16.7%
20000000	109	3.3%
30000000	106	3.2%
40000000	95	2.9%
25000000	90	2.7%
15000000	87	2.6%
35000000	83	2.5%
10000000	81	2.5%
50000000	76	2.3%
60000000	72	2.2%
Other values (331)	1939	59.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	549	16.7%
1	2	0.1%
3	1	< 0.1%
4	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
15	1	< 0.1%
25	1	< 0.1%

Value	Count	Frequency (%)
380000000	1	< 0.1%
300000000	1	< 0.1%
270000000	1	< 0.1%
260000000	1	< 0.1%
258000000	2	0.1%
250000000	10	0.3%
245000000	1	< 0.1%
237000000	1	< 0.1%
225000000	3	0.1%
220000000	1	< 0.1%

revenue
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2456
Distinct (%)	74.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98073716.31

Minimum	0
Maximum	2847246203
Zeros	764
Zeros (%)	23.2%
Negative	0
Negative (%)	0.0%
Memory size	51.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	102211.5
median	30016165
Q3	108271095.5
95-th percentile	449294916.1
Maximum	2847246203
Range	2847246203
Interquartile range (IQR)	108168884

Descriptive statistics

Standard deviation	181876916.6
Coefficient of variation (CV)	1.854491941
Kurtosis	28.10643335
Mean	98073716.31
Median Absolute Deviation (MAD)	30016165
Skewness	4.077265642
Sum	3.223683055 × 10¹¹
Variance	3.307921278 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	764	23.2%
562363449	3	0.1%
164000000	3	0.1%
368871007	3	0.1%
7000000	3	0.1%
263591415	2	0.1%
56308881	2	0.1%
4100000	2	0.1%
47536959	2	0.1%
82394288	2	0.1%
Other values (2446)	2501	76.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	764	23.2%
1	1	< 0.1%
7	1	< 0.1%
8	2	0.1%
15	1	< 0.1%
25	1	< 0.1%
32	1	< 0.1%
70	1	< 0.1%
103	1	< 0.1%
126	1	< 0.1%

Value	Count	Frequency (%)
2847246203	1	< 0.1%
1671713208	1	< 0.1%
1518815515	1	< 0.1%
1515047671	1	< 0.1%
1405403694	1	< 0.1%
1274219009	1	< 0.1%
1214811252	1	< 0.1%
1156730962	1	< 0.1%
1153296293	1	< 0.1%
1118888979	1	< 0.1%

profit
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2570
Distinct (%)	78.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62723342.53

Minimum	-150000000
Maximum	2610246203
Zeros	435
Zeros (%)	13.2%
Negative	949
Negative (%)	28.9%
Memory size	51.4 KiB

Quantile statistics

Minimum	-150000000
5-th percentile	-23397435.8
Q1	-1000000
median	6233280
Q3	65987425
95-th percentile	338616874.5
Maximum	2610246203
Range	2760246203
Interquartile range (IQR)	66987425

Descriptive statistics

Standard deviation	150104267.6
Coefficient of variation (CV)	2.393116526
Kurtosis	40.17131279
Mean	62723342.53
Median Absolute Deviation (MAD)	17700053
Skewness	4.746164146
Sum	2.061716269 × 10¹¹
Variance	2.253129114 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	435	13.2%
-10000000	26	0.8%
-1000000	20	0.6%
-3000000	13	0.4%
-500000	10	0.3%
-2000000	10	0.3%
-7000000	9	0.3%
-12000000	8	0.2%
-5000000	8	0.2%
-3500000	7	0.2%
Other values (2560)	2741	83.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-150000000	1	< 0.1%
-119180039	1	< 0.1%
-111007242	1	< 0.1%
-100000000	1	< 0.1%
-98301101	1	< 0.1%
-92896027	1	< 0.1%
-84000000	1	< 0.1%
-80000000	2	0.1%
-79627709	1	< 0.1%
-72822007	1	< 0.1%

Value	Count	Frequency (%)
2610246203	1	< 0.1%
1521713208	1	< 0.1%
1325047671	1	< 0.1%
1298815515	1	< 0.1%
1155403694	1	< 0.1%
1124219009	1	< 0.1%
1082730962	1	< 0.1%
1024888979	1	< 0.1%
1014811252	1	< 0.1%
908561013	2	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget_x	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes	Horror	History	Action	Romance	Crime	Family	Comedy	Biography	Thriller	Mystery	Adventure	Sci-Fi	Drama	Fantasy	budget_y	revenue	profit
0	Color	Dan Trachtenberg	411.0	104.0	16.0	82.0	John Gallagher Jr.	14000.0	71897215.0	Drama\|Horror\|Mystery\|Sci-Fi\|Thriller	Bradley Cooper	10 Cloverfield Lane	126893	14504	Sumalee Montano	0.0	alien\|bunker\|car crash\|kidnapping\|minimal cast	http://www.imdb.com/title/tt1179933/?ref_=fn_tt_tt_1	440.0	English	USA	PG-13	15000000.0	2016.0	338.0	7.3	2.35	33000	1	0	0	0	0	0	0	0	1	1	0	1	1	0	15000000	108286421	93286421
1	Color	Timothy Hines	1.0	111.0	0.0	247.0	Kelly LeBrock	1000.0	14616.0	Drama	Christopher Lambert	10 Days in a Madhouse	314	2059	Alexandra Callas	1.0	NaN	http://www.imdb.com/title/tt3453052/?ref_=fn_tt_tt_1	10.0	English	USA	R	12000000.0	2015.0	445.0	7.5	1.85	26000	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1200000	0	-1200000
2	Color	Gil Junger	133.0	97.0	19.0	835.0	Heath Ledger	23000.0	38176108.0	Comedy\|Drama\|Romance	Joseph Gordon-Levitt	10 Things I Hate About You	222099	37907	Andrew Keegan	6.0	dating\|protective father\|school\|shrew\|teen movie	http://www.imdb.com/title/tt0147800/?ref_=fn_tt_tt_1	549.0	English	USA	PG-13	16000000.0	1999.0	13000.0	7.2	1.85	10000	0	0	0	1	0	0	1	0	0	0	0	0	1	0	16000000	53478166	37478166
3	Color	Kevin Lima	84.0	100.0	36.0	439.0	Eric Idle	2000.0	66941559.0	Adventure\|Comedy\|Family	Ioan Gruffudd	102 Dalmatians	26413	4182	Jim Carter	1.0	dog\|parole\|parole officer\|prison\|puppy	http://www.imdb.com/title/tt0211181/?ref_=fn_tt_tt_1	77.0	English	USA	G	85000000.0	2000.0	795.0	4.8	1.85	372	0	0	0	0	0	1	1	0	0	0	1	0	0	0	85000000	183611771	98611771
4	Color	Robert Moresco	26.0	107.0	53.0	463.0	Brad Renfro	954.0	53481.0	Crime\|Drama\|Thriller	Brian Dennehy	10th & Wolf	5557	2512	Dash Mihok	5.0	desert storm\|fbi\|fbi agent\|fragmentation grenade\|woman kills attacker	http://www.imdb.com/title/tt0360323/?ref_=fn_tt_tt_1	34.0	English	USA	R	8000000.0	2006.0	551.0	6.4	2.35	294	0	0	0	0	1	0	0	0	1	0	0	0	1	0	8000000	143451	-7856549
5	Color	Greg Marcks	68.0	85.0	9.0	407.0	Barbara Hershey	861.0	NaN	Comedy\|Crime\|Drama	Henry Thomas	11:14	38273	2200	Shawn Hatosy	1.0	convenience store\|multiple perspectives\|murder\|paramedic\|van	http://www.imdb.com/title/tt0331811/?ref_=fn_tt_tt_1	133.0	English	USA	R	6000000.0	2003.0	618.0	7.2	1.85	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	6000000	0	-6000000
6	Color	Renny Harlin	113.0	108.0	212.0	347.0	Ashley Scott	969.0	12232937.0	Action\|Crime\|Thriller	Taylor Cole	12 Rounds	22823	2799	Nick Gomez	1.0	2000s\|detective\|sadist\|terrorism\|terrorist	http://www.imdb.com/title/tt1160368/?ref_=fn_tt_tt_1	113.0	English	USA	PG-13	22000000.0	2009.0	794.0	5.6	2.35	0	0	0	1	0	1	0	0	0	1	0	0	0	0	0	20000000	17280326	-2719674
7	Color	Steve McQueen	597.0	134.0	0.0	500.0	Scoot McNairy	2000.0	56667870.0	Biography\|Drama\|History	Quvenzhané Wallis	12 Years a Slave	439176	4251	Taran Killam	0.0	racism\|separation from family\|social injustice\|torture\|whipping	http://www.imdb.com/title/tt2024544/?ref_=fn_tt_tt_1	695.0	English	USA	R	20000000.0	2013.0	660.0	8.1	2.35	83000	0	1	0	0	0	0	0	1	0	0	0	0	1	0	20000000	187000000	167000000
8	Color	Danny Boyle	450.0	94.0	0.0	223.0	Treat Williams	11000.0	18329466.0	Adventure\|Biography\|Drama\|Thriller	James Franco	127 Hours	279179	11984	Kate Burton	0.0	alone\|aron ralston\|based on autobiography\|canyon\|survival	http://www.imdb.com/title/tt1542344/?ref_=fn_tt_tt_1	440.0	English	USA	R	18000000.0	2010.0	642.0	7.6	1.85	63000	0	0	0	0	0	0	0	1	1	0	1	0	1	0	18000000	35692920	17692920
9	Color	Gary Winick	119.0	98.0	56.0	533.0	Judy Greer	3000.0	56044241.0	Comedy\|Fantasy\|Romance	Jennifer Garner	13 Going on 30	122187	6742	Christa B. Allen	1.0	13 year old\|13th birthday\|30 year old\|wish\|year 1987	http://www.imdb.com/title/tt0337563/?ref_=fn_tt_tt_1	339.0	English	USA	PG-13	37000000.0	2004.0	2000.0	6.1	1.85	0	0	0	0	1	0	0	1	0	0	0	0	0	0	1	37000000	96455697	59455697

Last rows

	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget_x	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes	Horror	History	Action	Romance	Crime	Family	Comedy	Thriller	Mystery	Adventure	Sci-Fi	Drama	budget_y	revenue	profit
3277	Color	Mora Stephens	35.0	103.0	5.0	842.0	Alexandra Breckenridge	1000.0	NaN	Drama\|Thriller	Ray Winstone	Zipper	4091	3408	Elena Satine	0.0	escort\|f word\|no opening credits\|one word title\|prosecutor	http://www.imdb.com/title/tt3346224/?ref_=fn_tt_tt_1	20.0	English	USA	R	4500000.0	2015.0	1000.0	5.7	2.35	987	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0
3278	Color	Kevin Hamedani	64.0	89.0	23.0	23.0	Janette Armand	199.0	NaN	Comedy\|Horror\|Sci-Fi	Russell Hodgkinson	ZMD: Zombies of Mass Destruction	3650	292	Kevin Hamedani	0.0	cult\|homosexual\|island\|survival horror\|zombie	http://www.imdb.com/title/tt1134674/?ref_=fn_tt_tt_1	39.0	English	USA	R	500000.0	2009.0	37.0	5.1	1.85	0	1	0	0	0	0	0	1	0	0	0	1	0	0	0	0
3279	Color	David Fincher	377.0	162.0	21000.0	495.0	Jake Gyllenhaal	21000.0	33048353.0	Crime\|Drama\|History\|Mystery\|Thriller	Robert Downey Jr.	Zodiac	301279	36928	Anthony Edwards	0.0	cartoonist\|reporter\|serial killer\|zodiac\|zodiac killer	http://www.imdb.com/title/tt0443706/?ref_=fn_tt_tt_1	589.0	English	USA	R	65000000.0	2007.0	15000.0	7.7	2.35	12000	0	1	0	0	1	0	0	1	1	0	0	1	65000000	84785914	19785914
3280	Color	K. King	150.0	93.0	3.0	115.0	Shona Kay	214.0	NaN	Action\|Comedy\|Horror	Jason K. Wixom	Zombie Hunter	2057	656	Jarrod Phillips	2.0	desert\|drifter\|seduction\|siege\|zombie	http://www.imdb.com/title/tt2446502/?ref_=fn_tt_tt_1	30.0	English	USA	Not Rated	1000000.0	2013.0	211.0	3.5	2.35	0	1	0	1	0	0	0	1	0	0	0	0	0	0	0	0
3281	Color	Ruben Fleischer	445.0	88.0	181.0	11.0	Bill Murray	15000.0	75590286.0	Adventure\|Comedy\|Horror\|Sci-Fi	Emma Stone	Zombieland	386217	28011	Derek Graf	4.0	amusement park\|on the road\|zombie\|zombie apocalypse\|zombie spoof	http://www.imdb.com/title/tt1156398/?ref_=fn_tt_tt_1	553.0	English	USA	R	23600000.0	2009.0	13000.0	7.7	2.35	26000	1	0	0	0	0	0	1	0	0	1	1	0	23600000	102391540	78791540
3282	Color	Frank Coraci	178.0	102.0	153.0	269.0	Leslie Bibb	3000.0	80360866.0	Comedy\|Family\|Romance	Rosario Dawson	Zookeeper	44662	5392	Nicholas Turturro	1.0	champagne bottle\|coca cola\|jewelry box\|red bull\|zoo	http://www.imdb.com/title/tt1222817/?ref_=fn_tt_tt_1	127.0	English	USA	PG	80000000.0	2011.0	1000.0	5.2	2.35	0	0	0	0	1	0	1	1	0	0	0	0	0	80000000	169852759	89852759
3283	Color	Ben Stiller	226.0	102.0	0.0	1000.0	Will Ferrell	14000.0	28837115.0	Comedy	Milla Jovovich	Zoolander 2	34964	24107	Justin Theroux	4.0	chosen one\|fashion\|fashion model\|model\|retired	http://www.imdb.com/title/tt1608290/?ref_=fn_tt_tt_1	150.0	English	USA	PG-13	50000000.0	2016.0	8000.0	4.8	2.35	28000	0	0	0	0	0	0	1	0	0	0	0	0	50000000	55969000	5969000
3284	Color	Ben Stiller	135.0	90.0	0.0	8000.0	Alexander Skarsgård	14000.0	45162741.0	Comedy	Milla Jovovich	Zoolander	201084	34565	Will Ferrell	0.0	fashion\|malaysia\|male model\|reporter\|rival	http://www.imdb.com/title/tt0196229/?ref_=fn_tt_tt_1	523.0	English	Germany	PG-13	28000000.0	2001.0	10000.0	6.6	2.35	0	0	0	0	0	0	0	1	0	0	0	0	0	28000000	60780981	32780981
3285	Color	Peter Hewitt	63.0	83.0	12.0	690.0	Rip Torn	2000.0	11631245.0	Action\|Adventure\|Family\|Sci-Fi	Kevin Zegers	Zoom	15015	5022	Thomas F. Wilson	5.0	bruise\|female hero\|super strength\|superhero\|teenage superhero	http://www.imdb.com/title/tt0383060/?ref_=fn_tt_tt_1	113.0	English	USA	PG	35000000.0	2006.0	826.0	4.2	1.85	494	0	0	1	0	0	1	0	0	0	1	1	0	75600000	12506188	-63093812
3286	Color	Jérôme Salle	69.0	110.0	22.0	44.0	Tanya van Graan	5000.0	NaN	Crime\|Drama\|Thriller	Orlando Bloom	Zulu	12817	5273	Conrad Kemp	0.0	apartheid\|corpse\|male nudity\|murder\|police officer	http://www.imdb.com/title/tt2249221/?ref_=fn_tt_tt_1	43.0	English	France	R	16000000.0	2013.0	170.0	6.7	2.35	0	0	0	0	0	1	0	0	1	0	0	0	1	3500000	8000000	4500000

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number